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Association Between Geospatial Access to Trauma Center Care and Motor Vehicle Crash Mortality in the United States.
Patel, Vishal R; Rozycki, Grace; Jopling, Jeffrey; Subramanian, Madhu; Kent, Alistair; Manukyan, Mariuxi; Sakran, Joseph V; Haut, Elliott; Levy, Matthew; Nathens, Avery B; Brown, Carlos; Byrne, James P.
Afiliação
  • Patel VR; Dell Medical School, The University of Texas at Austin, Austin, TX.
  • Rozycki G; Division of Acute Care Surgery, Department of Surgery, Johns Hopkins University School of Medicine, Baltimore, MD.
  • Jopling J; Division of Acute Care Surgery, Department of Surgery, Johns Hopkins University School of Medicine, Baltimore, MD.
  • Subramanian M; Division of Acute Care Surgery, Department of Surgery, Johns Hopkins University School of Medicine, Baltimore, MD.
  • Kent A; Division of Acute Care Surgery, Department of Surgery, Johns Hopkins University School of Medicine, Baltimore, MD.
  • Manukyan M; Division of Acute Care Surgery, Department of Surgery, Johns Hopkins University School of Medicine, Baltimore, MD.
  • Nathens AB; Department of Surgery, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, ON.
Article em En | MEDLINE | ID: mdl-38053239
ABSTRACT

BACKGROUND:

Motor vehicle crashes (MVCs) are a leading cause of preventable trauma death in the United States (US). Access to trauma center care is highly variable nationwide. The objective of this study was to measure the association between geospatial access to trauma center care and MVC mortality.

METHODS:

This was a population-based study of MVC-related deaths that occurred in 3,141 US counties (2017-2020). ACS and state-verified level I-III trauma centers were mapped. Geospatial network analysis estimated the ground transport time to the nearest trauma center from the population-weighted centroid for each county. In this way, the exposure was the predicted access time to trauma center care for each county population. Hierarchical negative binomial regression measured the risk-adjusted association between predicted access time and MVC mortality, adjusting for population demographics, rurality, access to trauma resources, and state traffic safety laws.

RESULTS:

We identified 92,398 crash fatalities over the four-year study period. Trauma centers mapped included 217 level I, 343 level II, and 495 level III trauma centers. The median county predicted access time was 47 min (IQR 26-71 min). Median county MVC mortality was 12.5 deaths/100,000 person-years (IQR 7.4-20.3 deaths/100,000 person-years). After risk-adjustment, longer predicted access times were significantly associated with higher rates of MVC mortality (>60 min vs. <15 min; MRR 1.36; 95%CI 1.31-1.40). This relationship was significantly more pronounced in urban/suburban vs. rural/wilderness counties (p for interaction, <0.001). County access to trauma center care explained 16% of observed state-level variation in MVC mortality.

CONCLUSIONS:

Geospatial access to trauma center care is significantly associated with MVC mortality and contributes meaningfully to between-state differences in road traffic deaths. Efforts to improve trauma system organization should prioritize access to trauma center care to minimize crash fatalities. LEVEL OF EVIDENCE Level III, Epidemiological.

Texto completo: 1 Coleções: 01-internacional Contexto em Saúde: 9_ODS3_accidentes_transito Base de dados: MEDLINE Idioma: En Revista: J Trauma Acute Care Surg Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Contexto em Saúde: 9_ODS3_accidentes_transito Base de dados: MEDLINE Idioma: En Revista: J Trauma Acute Care Surg Ano de publicação: 2023 Tipo de documento: Article